Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
A group of solar energy experts from India revealed how they used weather data dating back to 1980 to optimize solar farms.
We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Abstract: Fault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include ...
Blackstone Energy Transition Partners will become the majority owner of the combined company, acquiring ownership interests in MPS currently held by Centerbridge MPS was founded in 1986 and PGC was ...
The Punch on MSN
At the intersection of AI, engineering, and human learning
Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...
Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
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